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2016 Annual Technology Baseline

Current and future cost and performance data for electricity generating technologies, including both renewable and conventional technologies.
NREL
energy
data
wind
PV
photovoltaic
concentrating solar power
LCOE
geothermal
hydropower
CAPEX
overnight capital cost
cost and performance
projection
RE
US
renewable energy
Submitted 09/12/2016 - 15:40 by Wesley Cole

NREL U.S. Solar Photovoltaic System Cost Benchmark Q1 2016 Report

Excel data file for the U.S. Solar Photovoltaic System Cost Benchmark Q1 2016 Report
NREL
energy
data
bottom-up cost model
capital cost
photovoltaic
renewable energy
RE
US
solar
PV
Submitted 09/16/2016 - 10:45 by Ran Fu

NREL U.S. Solar Photovoltaic System Cost Benchmark Q1 2017 Report

Excel data file for the U.S. Solar Photovoltaic System Cost Benchmark Q1 2017 Report
NREL
energy
data
solar
LCOE
cost analysis
SunShot
bottom-up cost model
capital cost
photovoltaic
renewable energy
RE
US
PV
Submitted 08/23/2017 - 13:27 by Ran Fu

Battery inverter experimental data

The increase in power electronic based generation sources require accurate modeling of inverters. Accurate modeling requires experimental data over wider operation range. We used 30 kW off-the-shelf grid following battery inverter in the experiments. We…
battery inverter
data analysis
data visualizations
database for artificial intelligence training
database for inverter characterization
database for model validation
artificial intelligence
machine learning
reinforcement learning
tensorflow
pytorch
scikit-learn
Submitted 01/06/2023 - 11:53 by Kumaraguru Prabakar

PV inverter experimental data

The increase in power electronic based generation sources require accurate modeling of inverters. Accurate modeling requires experimental data over wider operation range. We used 20 kW off-the-shelf grid following PV inverter in the experiments. We used…
data analysis
data visualizations
database for artificial intelligence training
database for inverter characterization
database for model validation
artificial intelligence
machine learning
reinforcement learning
tensorflow
pytorch
scikit-learn
PV inverter
Submitted 01/06/2023 - 11:53 by Kumaraguru Prabakar

Split phase inverter data

The increase in power electronic based generation sources require accurate modeling of inverters. Accurate modeling requires experimental data over wider operation range. We used 8.35 kW off-the-shelf grid following split phase PV inverter in the…
split phase inverter
PV inverter
data analysis
data visualizations
database for artificial intelligence training
database for inverter characterization
data base for model validation
artificial intelligence
machine learning
reinforcement learning
tensorflow
pytorch
scikit-learn
Submitted 03/22/2023 - 12:11 by Kumaraguru Prabakar

PV inverter experimental dataset version 2 with 100 percent power

The increase in power electronic based generation sources require accurate modeling of inverters. Accurate modeling requires experimental data over wider operation range. We used 20 kW off-the-shelf grid following PV inverter in the experiments. We used…
data analysis
data visualizations
database for artificial intelligence training
database for inverter characterization
database for model validation
artificial intelligence
machine learning
reinforcement learning
tensorflow
pytorch
scikit-learn
PV inverter
Submitted 05/05/2023 - 11:22 by Kumaraguru Prabakar

Rotating Shadowband Radiometer (RSR) Data for La Ola Lanai, Hawaii

The U.S. Department of Energy's National Renewable Energy Laboratory collaborates with the solar industry to establish high quality solar and meteorological measurements. This Solar Resource and Meteorological Assessment Project (SOLRMAP) provides high…
midc
solar
irradiance
meterological
data
measurement
instrumentation
solar calendar
wind rose
display
weather
outdoor
global
direct
diffuse
temperature
humidity
wind
pressure
precipitation
silicon
rotating
shadowband
pyranometer
radiometer
rsr
rsp
solar energy
renewable energy
RE
La Ola Lanai
Hawaii
Submitted 12/17/2014 - 22:00 by Afshin Andreas

Solar Radiation Monitoring Station (SoRMS): Humboldt State University, Arcata, California (Data)

A partnership with HSU and U.S. Department of Energy's National Renewable Energy Laboratory (NREL) to collect solar data to support future solar power generation in the United States. The measurement station monitors global horizontal, direct normal,…
midc
solar
irradiance
meterological
data
measurement
instrumentation
solar calendar
display
weather
outdoor
global
direct
diffuse
thermopile
pyranometer
radiometer
solar energy
renewable energy
RE
Humboldt State University
California
Arcata
solar power
Submitted 12/17/2014 - 22:00 by Andreas, A.

Rotating Shadowband Radiometer (RSR) Data from SOLRMAP Escalante Tri-State - Prewitt, New Mexico

The U.S. Department of Energy's National Renewable Energy Laboratory collaborates with the solar industry to establish high quality solar and meteorological measurements. This Solar Resource and Meteorological Assessment Project (SOLRMAP) provides high…
midc
solar
irradiance
meterological
data
measurement
instrumentation
solar calendar
display
weather
outdoor
global
direct
diffuse
temperature
humidity
wind
pressure
precipitation
silicon
rotating
shadowband
pyranometer
radiometer
rsr
rsp
solar energy
renewable energy
RE
Escalante Tri-State
Prewitt
New Mexico
Submitted 12/17/2014 - 22:00 by Afshin Andreas